Architecture for Embedding Audiovisual Feature Extraction Tools in Archives

Sutter, Renaat De; Braeckman, Karel

doi:10.5594/m001332

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2011

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“…In [5], De Sutter et al present a Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.…”

Section: Automatic Information Extractionmentioning

confidence: 99%

Speech recognition tools in a media retrieval system

Matton

Braeckman

2011

Proceedings of the 2011 ACM International Workshop on Automated Media Analysis and Production for Novel TV Services

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Broadcast video retrieval is a key issue for media researchers looking for suitable media material in archives. Current media retrieval applications in use at VRT have proven to be a suboptimal solution. In this paper, we explain a novel search environment based on the combined metadata from multiple broadcast systems. Furthermore, we explain how speech recognition can facilitate unlocking the archive. This is illustrated by conducting experiments and measuring the keyword recognition rate, rather than the pure word error rate. We show that the keyword recognition rate is sufficient for efficient media retrieval in a search application.

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Section: Automatic Information Extractionmentioning

confidence: 99%